class_docstr: An implementation of `"LDP" <https://arxiv.org/abs/1811.03508>`_ from the
  ICLR Representation Learning on Graphs and Manifolds Workshop '19 paper "A
  Simple Yet Effective Baseline for Non-Attributed Graph Classification". The
  procedure calculates histograms of degree profiles. These concatenated
  histograms form the graph representations.
  
  Args:
      bins (int): Number of histogram bins. Default is 32.
code: def __init__(self, bins: int = 32):
      self.bins = bins
  
file_path: karateclub/karateclub/graph_embedding/ldp.py
imports: import numpy
  import networkx
  from karateclub.estimator import Estimator
  from typing import List
label_desc: Use image node_id 1 to create a new LDP object from inherited base classes: Estimator with example: obj = LDP(bins)